import numpy as np
import matplotlib.pyplot as plt

# Fixing random state for reproducibility
np.random.seed(19680801)

mu, sigma = 100, 15
x = mu + sigma * np.random.randn(10000)

# the histogram of the data
n, bins, patches = plt.hist(x, 50, normed=1, facecolor='g', alpha=0.75)


plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Histogram of IQ')
plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
plt.axis([40, 160, 0, 0.03])
plt.grid(True)
plt.show() 

　

Traceback (most recent call last):
  File "M:\______\pyplot_text.py", line 11, in 
    n, bins, patches = plt.hist(x, 50, normed=1, facecolor='g', alpha=0.75)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\pyplot.py", line 2645, in hist
    return gca().hist(
           ^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\__init__.py", line 1459, in inner
    return func(ax, *map(sanitize_sequence, args), **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\axes\_axes.py", line 6943, in hist
    p._internal_update(kwargs)
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\artist.py", line 1223, in _internal_update
    return self._update_props(
           ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\artist.py", line 1197, in _update_props
    raise AttributeError(
AttributeError: Rectangle.set() got an unexpected keyword argument 'normed' 

Traceback (most recent call last):
  File "E:\______\pyplot_text.py", line 11, in 
    n, bins, patches = plt.hist(x, 50, normed=1, facecolor='g', alpha=0.75)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\pyplot.py", 
    line 3224, in hist
    return gca().hist(
           ^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\__init__.py", 
    line 1478, in inner
    return func(ax, *map(sanitize_sequence, args), **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\axes\_axes.py", 
    line 7012, in hist
    p._internal_update(kwargs)
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\artist.py", 
    line 1219, in _internal_update
    return self._update_props(
           ^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\artist.py", 
    line 1193, in _update_props
    raise AttributeError(
AttributeError: Rectangle.set() got an unexpected keyword argument 'normed' 

"""
Placing text boxes
==================

When decorating axes with text boxes, two useful tricks are to place the text
in axes coordinates (see :ref:`transforms_tutorial`),
so the text doesn't move around with changes in x or y limits.  You
can also use the ``bbox`` property of text to surround the text with a
`~matplotlib.patches.Patch` instance -- the ``bbox`` keyword argument takes a
dictionary with keys that are Patch properties.
"""

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(19680801)

fig, ax = plt.subplots()
x = 30*np.random.randn(10000)
mu = x.mean()
median = np.median(x)
sigma = x.std()
textstr = '\n'.join((
    r'$\mu=%.2f$' % (mu, ),
    r'$\mathrm{median}=%.2f$' % (median, ),
    r'$\sigma=%.2f$' % (sigma, )))

ax.hist(x, 50)
# these are matplotlib.patch.Patch properties
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)

# place a text box in upper left in axes coords
ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,
        verticalalignment='top', bbox=props)

plt.show() 

　Python 3.11.6 (matplotlib 3.7.1) 及び Python 3.12.0 (matplotlib 3.8.1) 共に、正常実行です。

　

• 2023/12/08 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
• 2023/12/08 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
• 2023/04/04 Ver=1.03 Python 3.11.2 で確認
• 2020/11/02 Ver=1.01 Python 3.7.8 で確認
• 2018/12/06 Ver=1.01 初版リリース

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